Clustering and predicting electronic commerce security concerns of developing countries

Abstract

The increase in electronic commerce (e-commerce) activities especially in developed countries has been tremendous in recent years. The increase in developing countries has, however, been very slow. Researchers have attributed this to several obstacles, with security of transactions prominently featuring in the research outcomes. This paper leverages data mining techniques, specifically clustering (cluster analysis) and decision tree prediction to (1) discover clusters mostly associated with security of e-commerce in West Africa, (2) identify the most congruent variable as far as e-commerce transactions in West Africa is concerned, (3) detail the aspect of e-commerce security that is of major concern to users in the sub-region, and (4) present a predictive model for predicting customers with likely e-commerce payment/data security concerns.